Now, here’s the thing about Kaggle. It has a vast collection of datasets and data science competitions but that can quickly become overwhelming for any beginner. I remember browsing through Kaggle during my initial data science days and thinking, “where do I even begin?”. Given the experti...
Visit the Kaggle platform and select any on-going competition. Here I’ve chosen the Housing Prices Competition. Kaggle is great for beginners and you can choose the Getting Started challenges to adapt to the machine learning processes and basics with Python and R. Explore the Data Step 2 Unde...
He recommends that beginners jump in to tackle Kaggle challenges they find interesting, no matter their skill level. “Don’t be scared of a complicated problem, as long as you’re interested in the topic,” he said. “Even if you don’t have a high chance of winning a big prize, you...
Challenges posted on Kaggle are provided from different sources, and while some exist simply to give members a chance to nurture their skills, others are posted by businesses that have legit problems for which they need immediate solutions. Kaggle encourages as many users as possible to compete by...
It is common for competitions to be hosted by providing data that needs to be analyzed for the company'sresearch challenges, key services. Artificial Intelligence, Machine Learning Boomhas continued to increase the number of participants and was acquired by Google's parent company'Alphabet'in 2017...
Participate in various challenges and hackathons to improve your skills and gain hands-on experience. You should also experiment with datasets. This will improve your data cleaning, visualization, and analysis skills, which are crucial in the field. Finally, work on personal projects. Applying ...
For real world data, this EDA step will usually include quite a bit ofdata cleaningand wrangling. While it can be tedious, Martin thinks that data cleaning provides important information on the kind of challenges your model might face on unseen data. “Question your assumptions carefully and you...
Hi Tavish, Great post as usual and a very interesting one. As you rightly said, “Till the moment you don’t step into water, you can’t make out how deep it is” it fits perfectly for Kaggle problems. We can learn a lot by hands on experimentation is what I have experienced as ...
Kaggle Competitions are designed to provide challenges for competitors at all different stages of their machine learning careers. As a result, they are very diverse, with a range of broad types. Featured Featured competitions are the types of competitions that Kaggle is probably best known for. Th...
Popularity of the Titanic Dataset: Mention its accessibility, its role in Kaggle challenges, and its manageable size. Why Beginners Choose It: Discuss its simplicity, the clear target (survival prediction), and the opportunity to practice basic techniques like data cleaning, feature engineering, and...